WikiExtractor.py is a Python script that extracts and cleans text from a Wikipedia database dump.
The tool is written in Python and requires Python 2.7 or Python 3.3+ but no additional library.
For further information, see the project Home Page or the Wiki.
WikiExtractor performs template expansion by preprocessing the whole dump and extracting template definitions.
In order to speed up processing:
- multiprocessing is used for dealing with articles in parallel
- a cache is kept of parsed templates (only useful for repeated extractions).
The script may be invoked directly, however it can be installed by doing:
(sudo) python setup.py install
The script is invoked with a Wikipedia dump file as an argument. The output is stored in several files of similar size in a given directory. Each file will contains several documents in this document format.
usage: WikiExtractor.py [-h] [-o OUTPUT] [-b n[KMG]] [-c] [--json] [--html]
[-l] [-s] [--lists] [-ns ns1,ns2]
[--templates TEMPLATES] [--no-templates] [-r]
[--min_text_length MIN_TEXT_LENGTH]
[--filter_disambig_pages] [-it abbr,b,big]
[-de gallery,timeline,noinclude] [--keep_tables]
[--processes PROCESSES] [-q] [--debug] [-a] [-v]
input
Wikipedia Extractor:
Extracts and cleans text from a Wikipedia database dump and stores output in a
number of files of similar size in a given directory.
Each file will contain several documents in the format:
<doc id="" revid="" url="" title="">
...
</doc>
If the program is invoked with the --json flag, then each file will
contain several documents formatted as json ojects, one per line, with
the following structure
{"id": "", "revid": "", "url":"", "title": "", "text": "..."}
Template expansion requires preprocesssng first the whole dump and
collecting template definitions.
positional arguments:
input XML wiki dump file
optional arguments:
-h, --help show this help message and exit
--processes PROCESSES
Number of processes to use (default 1)
Output:
-o OUTPUT, --output OUTPUT
directory for extracted files (or '-' for dumping to
stdout)
-b n[KMG], --bytes n[KMG]
maximum bytes per output file (default 1M)
-c, --compress compress output files using bzip
--json write output in json format instead of the default one
Processing:
--html produce HTML output, subsumes --links
-l, --links preserve links
-s, --sections preserve sections
--lists preserve lists
-ns ns1,ns2, --namespaces ns1,ns2
accepted namespaces in links
--templates TEMPLATES
use or create file containing templates
--no-templates Do not expand templates
-r, --revision Include the document revision id (default=False)
--min_text_length MIN_TEXT_LENGTH
Minimum expanded text length required to write
document (default=0)
--filter_disambig_pages
Remove pages from output that contain disabmiguation
markup (default=False)
-it abbr,b,big, --ignored_tags abbr,b,big
comma separated list of tags that will be dropped,
keeping their content
-de gallery,timeline,noinclude, --discard_elements gallery,timeline,noinclude
comma separated list of elements that will be removed
from the article text
--keep_tables Preserve tables in the output article text
(default=False)
Special:
-q, --quiet suppress reporting progress info
--debug print debug info
-a, --article analyze a file containing a single article (debug
option)
-v, --version print program version
Saving templates to a file will speed up performing extraction the next time, assuming template definitions have not changed.
Option --no-templates significantly speeds up the extractor, avoiding the cost of expanding MediaWiki templates.
For further information, visit the documentation.
please refer to http:https://blog.csdn.net/helihongzhizhuo/article/details/47251935 for installation
refer to https://pypi.python.org/pypi/opencc-python/0.1 for opencc usage
refer to https://github.com/HIT-SCIR/ltp/blob/master/doc/install.rst for installation
refer to http:https://pyltp.readthedocs.io/zh_CN/latest/ for usage